Publications by authors named "G Walch"
Background: Humeral distalization is inherent to reverse total shoulder arthroplasty (rTSA) and is often produced with concomitant humeral lateralization via the level of the humeral head cut, implant positioning, implant neck shaft angle, and polymer insert thickness. Biomechanical data on the isolated effects of humeral distalization remain limited but could be important to consider when optimizing postoperative rTSA shoulder function. This study investigated the effects of isolated humeral distalization on shoulder biomechanics using a biorobotic shoulder simulator.
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- * Researchers developed a sensitive method to detect STH DNA in soil samples (20 g) from households in Kenya, Benin, and India, using advanced techniques like qPCR and ddPCR to identify specific STH species.
- * The study found a significant association between STH detection in soil and human infections, highlighting that soil tests could be more reliable than microscopy, which often underestimated or overestimated STH prevalence.
Article Synopsis
- The Trillat procedure, developed by Albert Trillat, is one of the earliest techniques for treating recurrent anterior shoulder instability, utilizing unique biomechanical strategies that enhance the shoulder's stability.
- This procedure involves modifying the coracoid process and changing the subscapularis muscle's function, reinforcing its role in stabilizing the humeral head and preventing dislocation.
- Though modern techniques like arthroscopic Bankart repair are more commonly used, the Trillat procedure is still relevant, especially for older patients with large cuff tears or younger ones with hyperlaxity, albeit with potential complications such as pain, reduced motion, and impingement.
Background: Knowledge of premorbid glenoid parameters at the time of shoulder arthroplasty, such as inclination, version, joint line position, height, and width, can assist with implant selection, implant positioning, metal augment sizing, and/or bone graft dimensions. The objective of this study was to validate a scapular statistical shape model (SSM) in predicting patient-specific glenoid morphology in scapulae with clinically relevant glenoid erosion patterns.
Methods: Computed tomography scans of 30 healthy scapulae were obtained and used as the control group.